Thanks to its ability to establish theoretical relationship between structure and dynamics, control network theory has been increasingly adopted to study human brain functioning.
Control centrality, measuring how important a network node is in influencing other nodes' states, has been shown to provide useful markers of brain dynamics during resting states [1]} and executive functioning. [2]}, as well as to predict responses to brain stimulation in practice [3]} and in theory [4]}.
These findings establish an intuitive link between the brain regions identified as potential control drivers and the current knowledge in cognitive neuroscience.
Notably, large-scale brain activity has been found deeply dependent on nodal controllability within specific systems, such as default mode, fronto-parietal, cingulo-opercular, and attention [5]}.
